Following

@aesoteric.bsky.social

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Paul Bürkner @paulbuerkner.com Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
Michael "Shapes Dude" Betancourt @betanalpha.bsky.social Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Shakir Mohamed @shakirm.bsky.social AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
Alex Lew @alexlew.bsky.social Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Yarin @yaringal.bsky.social Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Jakob Macke @jakhmack.bsky.social #AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · PI and Hector Fellow ELLIS Institute @ellisinsttue.bsky.social tue.ellis.eu · Prof Uni Tuebingen @ml4science.bsky.social BCCN tue.ai
Marvin Schmitt @marvin-schmitt.com ⛵️ Research Scientist @ Midjourney 🇪🇺 Member @ellis.eu 🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence 🎓 PhD+MSc Computer Science, MSc Psychology 🏡 https://marvin-schmitt.com
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student @ University of Edinburgh Mostly working on guarantees for variational inference
@rogergrosse.bsky.social @rogergrosse.bsky.social
Alex Alemi @alexalemi.bsky.social Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
Luigi Acerbi @lacerbi.bsky.social Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Aaron Schein @aaronschein.bsky.social Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
Sebastian Farquhar @sebfar.bsky.social Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@wellingmax.bsky.social @wellingmax.bsky.social
@yeewhye.bsky.social @yeewhye.bsky.social
Pierre-Alexandre Mattei @pamattei.bsky.social Research scientist, Inria. Statistical machine learning.
Luca Ambrogioni @lucamb.bsky.social Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
J Joost van Amersfoort @joost.bsky.social
Philipp Hennig @philipphennig.bsky.social Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Bruno Mlodozeniec @brunokm.bsky.social PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
James Allingham @jamesallingham.bsky.social Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Thomas Möllenhoff @moellenh.bsky.social researcher
Kristoffer Stensbo-Smidt @kstensbo.bsky.social Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
Matthew Ashman @mashtro.bsky.social PhD student in the Machine Learning Group, Cambridge.
Ali Siahkoohi @siahkoohi.bsky.social Assistant Professor, CS at UCF | Uncertainty Quantification https://alisiahkoohi.github.io/
Pierre Alquier @pierrealquier.bsky.social Professor of Statistics @ ESSEC Business School, APAC campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Université Paris Cité 🇫🇷 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Dan Kowal @dan-kowal.bsky.social Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
Nicola Branchini @nicolabranchini.bsky.social 🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Sara Pérez-Vieites @sperez-vieites.bsky.social HIIT Postdoctoral Fellow at the University of Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/
Iain Murray @imurray.bsky.social Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Yu-Chien Ning @yuchienn.bsky.social Researcher in Bayesian machine learning
Nelson Tang @nelsontang.com Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com
Sweta Karlekar @swetakar.bsky.social Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
Rianne de Heide @rdeheide.bsky.social Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
John T Ormerod @johntormerod.bsky.social Statistician at Sydney University.
Adrián Javaloy @javaloyml.bsky.social Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io
Nicolas Beltran-Velez @velezbeltran.bsky.social Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
Lasse Elsemüller @elseml.bsky.social 💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
Paul Hagemann @yungbayesian.bsky.social PhD student at TU Berlin, working on generative models and inverse problems he/him
Willi @willigo09.bsky.social Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.
Sam Duffield @samduffield.com Stats, ML and open-source
Seth Axen 🪓 @sethaxen.com Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Often in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/southwest Germany) sethaxen.com
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Ayush Bharti @ayushbharti.bsky.social Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence. Website: http://bharti-ayush.github.io
Thomas Pinder @thomas-pinder.bsky.social Bayesian statistics, Gaussian processes, and causal inference. https://thomas-pinder.com
ArviZ @arviz.bsky.social Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang www.arviz.org
Dylan Sam @dsam99.bsky.social Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io
Jes Frellsen @jesfrellsen.bsky.social Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
Alex Thiery @alexxthiery.bsky.social Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
Data Science Dad @datasciencedad.bsky.social Data Scientist. Voice of Reason. Dad of synesthetic composer Jacqueline Cordes jacquelinecordes.com Chess, Poker, and Physics
Richi Paul @erpel.bsky.social phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmu.de; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
Adam Fleischhacker @adam-fleischhacker.bsky.social Navigating life with smiles, skills, and an eye on better. UD prof, inventor, app developer, entrepreneur. https://causact.com https://persuasivepython.com https://emergencyhealthfix.com
Sam Power @spmontecarlo.bsky.social Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
Michael Deistler @deismic.bsky.social Machine Learning tools for neuroscience @mackelab.bsky.social.
sbi - Simulation-based inference @sbi-devs.bsky.social Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 https://github.com/sbi-dev/sbi
Bertrand Charpentier @bertrand-sharp.bsky.social Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen
Tommy Rochussen @rochussen.bsky.social Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning. sheev13.github.io
Blei Lab @bleilab.bsky.social Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor https://cims.nyu.edu/~andrewgw
Zhidi Lin @zhidilin.bsky.social Research Fellow @HKU 🇭🇰 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
Osvaldo Martin @aloctavodia.bsky.social Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART. Support me at https://ko-fi.com/aloctavodia https://bayes.club/@aloctavodia
PyMC @pymc.io Probabilistic Programming and Bayesian Modeling in Python
PyMC Labs @pymc-labs.bsky.social The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Javier Burroni @jburroni.bsky.social “Machines take me by surprise with great frequency” A. M. T.
David Rügamer @davidruegamer.bsky.social Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL Theory (Overparam, Optim), Sparsity, TabFMs
Leiv Rønneberg @ltronneberg.bsky.social Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Robin Ryder @robinryder.bsky.social Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
Louis Sharrock @louissharrock.bsky.social Lecturer (Assistant Prof) in Statistical Science at UCL. Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational stats, probabilistic ML, optimisation. Website: https://louissharrock.github.io/
S Michael Tran @shardergatherer.bsky.social
Adrien Corenflos @adriencorenflos.bsky.social Assistant Professor at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
Emily Byun @yewonbyun.bsky.social PhD Student in Machine Learning at CMU. yewonbyun.github.io
Richard C. Suwandi @richardcsuwandi.bsky.social PhD-ing at CUHK-Shenzhen. Building evolutionary coding agents at Dria. #AI4Science community leader at alphaXiv richardcsuwandi.github.io
Samuel Müller @sammuller.bsky.social (Tab)PFNs, TrivialAugment etc.
@psteinb.bsky.social @psteinb.bsky.social Using Machine Learning for Matter Research @helmholtzai.bsky.social
Will Kurt @willkurt.bsky.social "The idea of an environment scarcely makes any sense since you can never draw a boundary line that would distinguish an organism from what surrounds it." - Bruno Latour
Chad Scherrer @cscherrer.bsky.social Doing Bayesian stuff in #rustlang and #julialang. Seattle
Jonathan Wenger @jwenger.bsky.social Postdoctoral Research Scientist in Statistics at Columbia University
Thomas Wiecki @twiecki.bsky.social That PyMC guy
Kajetan Schweighofer @kschweig.bsky.social ELLIS PhD Student @ JKU supervised by Sepp Hochreiter Working on Predictive Uncertainty in ML
Chengkun Li @chengkunli.bsky.social Probabilistic machine learning, Bayesian computation, and computer vision PhD in Computer Science 📍Helsinki, Finland https://pipme.github.io/
claudia shi @claudiashi.bsky.social machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/
Daolang Huang @huangdaolang.bsky.social PhD student at Aalto University 🇫🇮 Probabilistic ML, amortized inference. See more at huangdaolang.com
Stephan Mandt @stephanmandt.bsky.social AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Padhraic Smyth @padhraicsmyth.bsky.social ML researcher, teacher, professor, Dad, Irish, ...
Alex Immer @aleximmer.bsky.social Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP. aleximmer.github.io
Teresa Klatzer @teresa-klatzer.bsky.social PhD candidate @ University of Edinburgh Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging https://teresa-klatzer.github.io/
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic. Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
Aaron Roth @aaroth.bsky.social Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Sasho Nikolov @thesasho.bsky.social Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Jon Ullman @thejonullman.bsky.social Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Jess Sorrell @optimistsinc.bsky.social Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
Gautam Kamath @gautamkamath.com Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
Bryan Chan @chanpyb.bsky.social PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
Natalie Collina @ncollina.bsky.social CS PhD student at UPenn studying strategic human-AI interaction. Nataliecollina.com
Kimon Fountoulakis @kfountou.bsky.social Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
Rachel Lawrence @rachel-law.bsky.social Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨, protecting democracy🗽 www.rlaw.me